02/20/2025 updated
OT
100 % available
AI Model Trainer & Software Engineer | Data Scientist | Data Engineer
Milan, Italy
Worldwide
MSc in Computer ScienceArtificial IntelligenceAmazon Web ServicesMicrosoft AzureBusiness IntelligenceBig DataBusiness Process Model and NotationBusiness Process MappingBusiness Process AutomationCloud ComputingInformation EngineeringData IntegrationExtract Transform Load (ETL)Data ManagementData VisualizationData Warehousing
Machine Learning and AI
Expertise in developing and training AI models, including Reinforcement Learning, Large Language Models, and deep learning techniques.
Data Science and Analysis
Proficiency in data visualization, interpretation, and advanced statistical analysis to generate actionable insights and support data-driven decision-making.
Software Engineering
Strong background in developing and maintaining software infrastructure for deploying machine learning models on cloud platforms like Azure.
Programming Languages
Proficiency in Python and SQL for data manipulation, analysis, and model development.
Data Engineering
Experience with ETL pipelines, data warehousing, data integration, and cloud platforms (AWS, GCP, Azure).
Big Data Technologies
Familiarity with Hadoop, Spark, and other big data tools for processing large-scale datasets.
Cloud Technologies
Knowledge of AWS, GCP, and Azure for deploying and managing cloud-based solutions.
Business Intelligence
Skills in process mining, business process automation, and process mapping (BPMN) for deriving insights from data.
Expertise in developing and training AI models, including Reinforcement Learning, Large Language Models, and deep learning techniques.
Data Science and Analysis
Proficiency in data visualization, interpretation, and advanced statistical analysis to generate actionable insights and support data-driven decision-making.
Software Engineering
Strong background in developing and maintaining software infrastructure for deploying machine learning models on cloud platforms like Azure.
Programming Languages
Proficiency in Python and SQL for data manipulation, analysis, and model development.
Data Engineering
Experience with ETL pipelines, data warehousing, data integration, and cloud platforms (AWS, GCP, Azure).
Big Data Technologies
Familiarity with Hadoop, Spark, and other big data tools for processing large-scale datasets.
Cloud Technologies
Knowledge of AWS, GCP, and Azure for deploying and managing cloud-based solutions.
Business Intelligence
Skills in process mining, business process automation, and process mapping (BPMN) for deriving insights from data.
Experience
Professional experience0 - 5 years
Freelancer since2025
Languages
GermanGoodEnglishFluent
Project history
Train and refine AI models using Reinforcement Learning with Human Feedback (RLHF) and Large Language Models (LLMs). Develop and maintain software infrastructure for deploying machine learning models on cloud platforms like Azure.
Developed RNN models for sentiment analysis and text classification. Implemented data preprocessing, model training, and evaluation workflows. Introduced Python-based interpretability methods to enhance algorithm transparency.
Led data engineering projects, automating ETL pipelines using Python and SQL, reducing data processing times by 30%.